Evidence map›Paper›PMID 32604012›Full record

ReviewCurrent opinion in genetics & development2020

The importance of including ethnically diverse populations in studies of quantitative trait evolution.

Michael A McQuillan, Chao Zhang, Sarah A Tishkoff, Alexander Platt

Abstract readReview
In one paragraph

Review in Current opinion in genetics & development, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. The road ahead in genetics and genomics.Nature reviews. Genetics · 2020
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Michael A McQuillanDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Chao ZhangDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Sarah A TishkoffDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Biology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA 19104, USA. Electronic address: tishkoff@pennmedicine.upenn.edu.
Alexander PlattDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. Electronic address: Alexander.Platt@Pennmedicine.upenn.edu.

Funding

Translational Research Support CoreP30ES013508 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI Rebecca A Simmons · 2006 to 2026
$35.3M
Translational Research Training Program in Environmental Health SciencesT32ES019851 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI Kara A Bernstein, Trevor M Penning · 2012 to 2026
$6.0M
Integrative Genomic Analyses of Human Evolution and Adaptation in AfricaR35GM134957 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI TISHKOFF, SARAH ANNE · 2020 to 2024
$2.7M
NIEHS NIH HHS P30 ES013508NIEHS NIH HHS T32 ES019851NIGMS NIH HHS R35 GM134957
6 · The paper itself

Abstract

For many traits, human variation is less a matter of categorical differences than quantitative variation, such as height, where individuals fall along a continuum from short to tall. Most recent studies utilize large population-based samples with whole-genome sequences to study the evolution of these traits and have made significant progress implementing a broad spectrum of techniques. However, relatively few studies of quantitative trait evolution include ethnically diverse populations, which often harbor the highest levels of genetic and phenotypic diversity. Thus, our ability to draw inferences about quantitative trait adaptation has been limited. Here, we review recent studies examining human quantitative trait adaptation, and argue that including ethnically diverse populations, particularly from Africa, will be especially informative for our understanding of how humans adapt to the world around them.

Indexed as

Biological EvolutionGenetics, PopulationGenetic VariationPhenotypeQuantitative Trait LociSelection, GeneticEthnicityHumans

Identifiers

PMID32604012
PMCPMC7942184

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.